Data to intelligence: The role of data-driven models in wastewater treatment

M Bahramian, RK Dereli, W Zhao, M Giberti… - Expert Systems with …, 2023 - Elsevier
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater …

L Zhao, T Dai, Z Qiao, P Sun, J Hao, Y Yang - Process Safety and …, 2020 - Elsevier
Wastewater treatment is an important step for pollutant reduction and the promotion of water
environment quality. The complexity of natural conditions, influent shock, and wastewater …

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction

RMA Ikram, AA Ewees, KS Parmar, ZM Yaseen… - Applied Soft …, 2022 - Elsevier
Precise streamflow prediction is necessary for better planning and managing available
water and future water resources, especially for high altitude mountainous glacier melting …

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

RM Adnan, RR Mostafa, O Kisi, ZM Yaseen… - Knowledge-Based …, 2021 - Elsevier
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …

Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations

J Zhou, S Huang, Y Qiu - Tunnelling and Underground Space Technology, 2022 - Elsevier
The stability evaluation of underground entry-type excavations is a prerequisite of the entry-
type mining method, which directly affects whether workers can be provided with a safe and …

An efficient clinical support system for heart disease prediction using TANFIS classifier

J Sekar, P Aruchamy… - Computational …, 2022 - Wiley Online Library
In today's world, the advancement of telediagnostic equipment plays an essential role to
monitor heart disease. The earlier diagnosis of heart disease proliferates the compatibility of …

Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting

G Zuo, J Luo, N Wang, Y Lian, X He - Journal of Hydrology, 2020 - Elsevier
Reliable and accurate streamflow forecasting is vital for water resource management. Many
streamflow prediction studies have demonstrated the excellent prediction ability of …

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

L Ni, D Wang, J Wu, Y Wang, Y Tao, J Zhang, J Liu - Journal of Hydrology, 2020 - Elsevier
The establishment of an accurate and reliable forecasting model is important for water
resource planning and management. In this study, we developed a hybrid model (namely …

An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction

I Ahmadianfar, S Shirvani-Hosseini, J He… - Scientific Reports, 2022 - nature.com
Precise prediction of water quality parameters plays a significant role in making an early
alert of water pollution and making better decisions for the management of water resources …

Improved ANFIS model for forecasting Wuhan City Air Quality and analysis COVID-19 lockdown impacts on air quality

MAA Al-Qaness, H Fan, AA Ewees, D Yousri… - Environmental …, 2021 - Elsevier
In this study, we propose an improved version of the adaptive neuro-fuzzy inference system
(ANFIS) for forecasting the air quality index in Wuhan City, China. We propose a hybrid …